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Ai Machine Learning Graduate Internship Jobs (NOW HIRING)

AI & Machine Learning Engineer

Saint Petersburg, FL ยท On-site

$105K - $127K/yr

Overview Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional ...

AI & Machine Learning Engineer

Saint Petersburg, FL ยท On-site

$92K - $126K/yr

Overview Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional ...

AI & Machine Learning Engineer

Chandler, AZ ยท On-site

$100K - $110K/yr (+ commission)

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt workflows, and ...

Veritone's leading enterprise AI platform, aiWAREโ„ข, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human ...

$120K - $150K/yr

The AI/Machine Learning Engineer IIwill be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and development ...

AI & Machine Learning Engineer

Saint Petersburg, FL ยท On-site

$105K - $127K/yr

Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams and ...

Engineer II, AI/Machine Learning

Irvine, CA ยท On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Engineer II, AI/Machine Learning

Irvine, CA ยท On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

WI ยท On-site

Core4ce is seeking a highly experienced AI/Machine Learning Specialist to develop innovative AI-enabled tools, algorithms, and solutions for complex intelligence and geospatial problems. We are ...

New

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Sr. AI/Machine Learning Engineer

Memphis, TN ยท Remote

$107K - $146K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

Sr. AI/Machine Learning Engineer

Memphis, TN ยท Remote

$101K - $139K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Showing results 41-60

Ai Machine Learning Graduate Internship information

See salary details

$25.5K

$42.6K

$88K

How much do ai machine learning graduate internship jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai machine learning graduate internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
More about Ai Machine Learning Graduate Internship jobs
Infographic showing various Ai Machine Learning Graduate Internship job openings in the United States as of September 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Agentic AI / Machine Learning Consultant

Manhattan, NY โ€ข Remote

Vertical Relevance
Finance and Insuranceย โ€ขย 11 - 50 employees

Full-time

Posted 9 days ago


Job description


Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to join our team. In this role, you will be responsible for the end-to-end design, development, and deployment of advanced ML/AI solutions. You’ll work closely with clients to deliver impactful outcomes, leveraging Cloud services and cutting-edge technologies in the Hybrid in NY Metro Area.
As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to implement technical solutions that solve complex business challenges. This position requires strong technical expertise, excellent communication skills, and a passion for driving customer success.
At Vertical Relevance, we believe in teamwork, automation, continuous learning, and ownership. If you’re ready to innovate and make a measurable impact, we’d love to hear from you!
Key Responsibilities 
  • Deliver end-to-end ML/AI solutions from problem framing through deployment and monitoring 
  • Design scalable AI/ML architectures using AWS and GCP services 
  • Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking 
  • Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG) 
  • Design and implement knowledge graphs and ontologies 
  • Build data ingestion pipelines for structured and unstructured data 
  • Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch 
  • Implement self-hosted embedding models in secure environments 
  • Ensure compliance with PHI/PII data security requirements 
  • Collaborate with cross-functional teams and act as a technical advisor 
  • Mentor team members and contribute to technical thought leadership 
Required Qualifications 
  • Experience building and deploying ML/AI solutions in AWS, GCP, or Azure 
  • Strong expertise in RAG systems and retrieval optimization 
  • Experience with vector databases and hybrid search techniques 
  • Knowledge of knowledge graph design and entity resolution 
  • Proficiency in Python (R is a plus) 
  • Experience with LLM platforms such as OpenAI, Anthropic, or Gemini 
  • Strong communication and client-facing skills 
Preferred Qualifications 
  • Experience with Amazon Neptune or other graph databases 
  • Familiarity with information retrieval metrics 
  • Experience with self-hosted embeddings 
  • Healthcare domain knowledge (payer/claims) 
  • Experience with agentic AI frameworks such as LangGraph or MCP 
About Vertical Relevance

Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. 

Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 


 

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